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Carballido L, Bou-Maroun E, Weber G, Bezverkhyy I, Karbowiak T. A new sol-gel fluorescent sensor to track carbonyl compounds. Talanta 2024; 279:126569. [PMID: 39042961 DOI: 10.1016/j.talanta.2024.126569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/05/2024] [Accepted: 07/12/2024] [Indexed: 07/25/2024]
Abstract
Carbonyl compounds are ubiquitous quality trackers that provide information about food product degradation as well as air and water pollution levels. In addition, they are used as biomarkers for medical diagnoses. With more user-friendly sensors, their fast detection and easy quantification are highly relevant. The synthesis, characterization, and performance assessment of a new sensor based on aniline fluorescence to monitor carbonyls in real time is reported. A cost-effective synthesis using a straightforward sol-gel process led to the construction of a nontoxic silica-based material with high porosity, which can be used with almost no sample preparation. The material exhibits a rapid (< 1 min) fluorescence decrease upon interaction with carbonyl groups. The limit of detection is as low as ca. 5 × 10-4 mol·L-1 for hexanal, while fluorescence extinction occurs at much higher concentrations (5 × 10-1·mol L-1), which enables the sensor to be used with a very broad range of detection. Real-time monitoring is possible since the fluorescence loss correlates with the concentration of carbonyl moieties. The performance was validated in simulating as well as in real media, making this sensor suitable for use in a wide range of applications.
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Affiliation(s)
- Laura Carballido
- Univ. Bourgogne Franche-Comté, Institut Agro, Univ. de Bourgogne, INRAE, UMR PAM 1517, 1 Esplanade Erasme, 21000, Dijon, France
| | - Elias Bou-Maroun
- Univ. Bourgogne Franche-Comté, Institut Agro, Univ. de Bourgogne, INRAE, UMR PAM 1517, 1 Esplanade Erasme, 21000, Dijon, France
| | - Guy Weber
- Laboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne Franche-Comté, 9 avenue Alain Savary, BP 47870, 21078, Dijon, Cedex, France
| | - Igor Bezverkhyy
- Laboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne Franche-Comté, 9 avenue Alain Savary, BP 47870, 21078, Dijon, Cedex, France
| | - Thomas Karbowiak
- Univ. Bourgogne Franche-Comté, Institut Agro, Univ. de Bourgogne, INRAE, UMR PAM 1517, 1 Esplanade Erasme, 21000, Dijon, France.
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Zhou M, Wang Q, Lu X, Zhang P, Yang R, Chen Y, Xia J, Chen D. Exhaled breath and urinary volatile organic compounds (VOCs) for cancer diagnoses, and microbial-related VOC metabolic pathway analysis: a systematic review and meta-analysis. Int J Surg 2024; 110:1755-1769. [PMID: 38484261 PMCID: PMC10942174 DOI: 10.1097/js9.0000000000000999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/04/2023] [Indexed: 03/17/2024]
Abstract
BACKGROUND The gradual evolution of the detection and quantification of volatile organic compounds (VOCs) has been instrumental in cancer diagnosis. The primary objective of this study was to assess the diagnostic potential of exhaled breath and urinary VOCs in cancer detection. As VOCs are indicative of tumor and human metabolism, our work also sought to investigate the metabolic pathways linked to the development of cancerous tumors. MATERIALS AND METHODS An electronic search was performed in the PubMed database. Original studies on VOCs within exhaled breath and urine for cancer detection with a control group were included. A meta-analysis was conducted using a bivariate model to assess the sensitivity and specificity of the VOCs for cancer detection. Fagan's nomogram was designed to leverage the findings from our diagnostic analysis for the purpose of estimating the likelihood of cancer in patients. Ultimately, MetOrigin was employed to conduct an analysis of the metabolic pathways associated with VOCs in relation to both human and/or microbiota. RESULTS The pooled sensitivity, specificity and the area under the curve for cancer screening utilizing exhaled breath and urinary VOCs were determined to be 0.89, 0.88, and 0.95, respectively. A pretest probability of 51% can be considered as the threshold for diagnosing cancers with VOCs. As the estimated pretest probability of cancer exceeds 51%, it becomes more appropriate to emphasize the 'ruling in' approach. Conversely, when the estimated pretest probability of cancer falls below 51%, it is more suitable to emphasize the 'ruling out' approach. A total of 14, 14, 6, and 7 microbiota-related VOCs were identified in relation to lung, colorectal, breast, and liver cancers, respectively. The enrichment analysis of volatile metabolites revealed a significant enrichment of butanoate metabolism in the aforementioned tumor types. CONCLUSIONS The analysis of exhaled breath and urinary VOCs showed promise for cancer screening. In addition, the enrichment analysis of volatile metabolites revealed a significant enrichment of butanoate metabolism in four tumor types, namely lung, colorectum, breast and liver. These findings hold significant implications for the prospective clinical application of multiomics correlation in disease management and the exploration of potential therapeutic targets.
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Affiliation(s)
- Min Zhou
- Department of Breast Surgery, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi Maternity and Child Health Care Hospital
| | - Qinghua Wang
- Research Institute for Reproductive Health and Genetic Diseases, Women’s Hospital of Jiangnan University
| | - Xinyi Lu
- Department of Breast Surgery, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi Maternity and Child Health Care Hospital
| | - Ping Zhang
- Department of Breast Surgery, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi Maternity and Child Health Care Hospital
| | - Rui Yang
- Research Institute for Reproductive Health and Genetic Diseases, Women’s Hospital of Jiangnan University
| | - Yu Chen
- Research Institute for Reproductive Health and Genetic Diseases, Women’s Hospital of Jiangnan University
| | - Jiazeng Xia
- Department of General Surgery and Translational Medicine Center, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Jiangnan University Medical Center, Wuxi, People’s Republic of China
| | - Daozhen Chen
- Department of Breast Surgery, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi Maternity and Child Health Care Hospital
- Research Institute for Reproductive Health and Genetic Diseases, Women’s Hospital of Jiangnan University
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Katsaros G, Smith SA, Shacklette S, Trivedi J, Garr S, Parrish LW, Xie Z, Fu XA, Powell K, Pantalos G, van Berkel V. Identification of a marker of infection in the breath using a porcine pneumonia model. JTCVS OPEN 2023; 16:1063-1069. [PMID: 38204632 PMCID: PMC10775109 DOI: 10.1016/j.xjon.2023.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/22/2023] [Accepted: 10/14/2023] [Indexed: 01/12/2024]
Abstract
Objective Pneumonia, both in the community and the hospital setting, represents a significant cause of morbidity and mortality in the cardiothoracic patient population. Diagnosis of pneumonia can be masked by other disease processes and is often diagnosed after the patient is already experiencing the disease. A noninvasive, sensitive test for pneumonia could decrease hospitalizations and length of stay for patients. We have developed a porcine model of pneumonia and evaluated the exhaled breath of infected pigs for biomarkers of infection. Methods Anesthetized 60-kg adult pigs were intubated, and a bronchoscope was used to instill a solution containing 12 × 108 cfu of methicillin-sensitive Staphylococcus aureus or a control solution without bacteria (Sham) into the distal airways. The pigs were then reintubated on postoperative days 3, 6, and 9, with bronchoscopic bronchial lavages taken at each time point. At each time point, a 500-mL breath was captured from each pig. The breath was evacuated over a silicon microchip, with the volatile carbonyl compounds from the breath captured via oximation reaction, and the results of this capture were analyzed by ultra-high performance liquid chromatography mass spectrometry. Results A total of 64% of the pigs inoculated with methicillin-sensitive S. aureus demonstrated consolidation on chest radiography and increasing counts of methicillin-sensitive S. aureus in the bronchial lavages over the span of the experiment, consistent with development of pneumonia. Analysis of the exhaled breath demonstrated 1 carbonyl compound (2-pentenal) that increased 10-fold over the span of the experiment, from an average of 0.0294 nmol/L before infection to an average of 0.3836 nmol/L on postoperative day 9. The amount of 2-pentenal present was greater in the breath of infected pigs than in the noninfected pigs or the sham inoculated pigs at postoperative days 6 and 9. Using an elevated concentration of 2-pentenal as a marker of infection yielded a sensitivity of 88% and specificity of 92% at postoperative day 6, and a sensitivity and specificity of 100% at postoperative day 9. Conclusions We were able to successfully develop a clinical pneumonia in adult 60-kg pigs. The concentration of 2-pentenal correlated with the presence of pneumonia, demonstrating the potential for this compound to function as a biomarker for methicillin-sensitive S. aureus infection in pigs.
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Affiliation(s)
- Gianna Katsaros
- Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, Ky
| | - Susan Ansley Smith
- Department of Surgery, University of Louisville School of Medicine, Louisville, Ky
| | - Sienna Shacklette
- Department of Bioengineering, University of Louisville Speed School of Engineering, Louisville, Ky
| | - Jaimin Trivedi
- Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, Ky
| | - Stephanie Garr
- Department of Medicine, University of Louisville School of Medicine, Louisville, Ky
| | - Leslie Wolf Parrish
- Department of Medicine, University of Louisville School of Medicine, Louisville, Ky
| | - Zhenzhen Xie
- Department of Chemical Engineering, University of Louisville Speed School of Engineering, Louisville, Ky
| | - Xiao-An Fu
- Department of Chemical Engineering, University of Louisville Speed School of Engineering, Louisville, Ky
| | - Karen Powell
- Comparative Medicine Research Unit, University of Louisville, Louisville, Ky
| | - George Pantalos
- Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, Ky
| | - Victor van Berkel
- Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, Ky
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Vanstraelen S, Jones DR, Rocco G. Breathprinting analysis and biomimetic sensor technology to detect lung cancer. J Thorac Cardiovasc Surg 2023; 166:357-361.e1. [PMID: 36997463 DOI: 10.1016/j.jtcvs.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/15/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023]
Affiliation(s)
- Stijn Vanstraelen
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David R Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY; Fiona and Stanley Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gaetano Rocco
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY; Fiona and Stanley Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY.
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Rai SN, Das S, Pan J, Mishra DC, Fu XA. Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples. PLoS One 2022; 17:e0277431. [PMID: 36449484 PMCID: PMC9710764 DOI: 10.1371/journal.pone.0277431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 10/26/2022] [Indexed: 12/05/2022] Open
Abstract
Early detection of lung cancer is a crucial factor for increasing its survival rates among the detected patients. The presence of carbonyl volatile organic compounds (VOCs) in exhaled breath can play a vital role in early detection of lung cancer. Identifying these VOC markers in breath samples through innovative statistical and machine learning techniques is an important task in lung cancer research. Therefore, we proposed an experimental approach for generation of VOC molecular concentration data using unique silicon microreactor technology and further identification and characterization of key relevant VOCs important for lung cancer detection through statistical and machine learning algorithms. We reported several informative VOCs and tested their effectiveness in multi-group classification of patients. Our analytical results indicated that seven key VOCs, including C4H8O2, C13H22O, C11H22O, C2H4O2, C7H14O, C6H12O, and C5H8O, are sufficient to detect the lung cancer patients with higher mean classification accuracy (92%) and lower standard error (0.03) compared to other combinations. In other words, the molecular concentrations of these VOCs in exhaled breath samples were able to discriminate the patients with lung cancer (n = 156) from the healthy smoker and nonsmoker controls (n = 193) and patients with benign pulmonary nodules (n = 65). The quantification of carbonyl VOC profiles from breath samples and identification of crucial VOCs through our experimental approach paves the way forward for non-invasive lung cancer detection. Further, our experimental and analytical approach of VOC quantitative analysis in breath samples may be extended to other diseases, including COVID-19 detection.
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Affiliation(s)
- Shesh N. Rai
- Biostatistics and Bioinformatics Facility, Brown Cancer Center, University of Louisville, Louisville, KY, United States of America
- School of Interdisciplinary and Graduate Studies, University of Louisville, Louisville, KY, United States of America
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY, United States of America
- Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, United States of America
- Biostatistics and Informatics Facility, Center for Integrative Environmental Research Sciences, University of Louisville, Louisville, KY, United States of America
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States of America
- * E-mail: (SNR); (SD)
| | - Samarendra Das
- Biostatistics and Bioinformatics Facility, Brown Cancer Center, University of Louisville, Louisville, KY, United States of America
- School of Interdisciplinary and Graduate Studies, University of Louisville, Louisville, KY, United States of America
- ICAR-Directorate of Foot and Mouth Disease, Arugul, Bhubaneswar, Odisha, India
- International Centre for Foot and Mouth Disease, Arugul, Bhubaneswar, Odisha, India
- ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, India
- * E-mail: (SNR); (SD)
| | - Jianmin Pan
- Biostatistics and Bioinformatics Facility, Brown Cancer Center, University of Louisville, Louisville, KY, United States of America
| | - Dwijesh C. Mishra
- ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, India
| | - Xiao-An Fu
- Department of Chemical Engineering, University of Louisville, Louisville, KY, United States of America
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Keogh RJ, Riches JC. The Use of Breath Analysis in the Management of Lung Cancer: Is It Ready for Primetime? Curr Oncol 2022; 29:7355-7378. [PMID: 36290855 PMCID: PMC9600994 DOI: 10.3390/curroncol29100578] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/22/2022] [Accepted: 09/28/2022] [Indexed: 11/07/2022] Open
Abstract
Breath analysis is a promising non-invasive method for the detection and management of lung cancer. Exhaled breath contains a complex mixture of volatile and non-volatile organic compounds that are produced as end-products of metabolism. Several studies have explored the patterns of these compounds and have postulated that a unique breath signature is emitted in the setting of lung cancer. Most studies have evaluated the use of gas chromatography and mass spectrometry to identify these unique breath signatures. With recent advances in the field of analytical chemistry and machine learning gaseous chemical sensing and identification devices have also been created to detect patterns of odorant molecules such as volatile organic compounds. These devices offer hope for a point-of-care test in the future. Several prospective studies have also explored the presence of specific genomic aberrations in the exhaled breath of patients with lung cancer as an alternative method for molecular analysis. Despite its potential, the use of breath analysis has largely been limited to translational research due to methodological issues, the lack of standardization or validation and the paucity of large multi-center studies. It is clear however that it offers a potentially non-invasive alternative to investigations such as tumor biopsy and blood sampling.
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Lung Cancer Diagnosis System Based on Volatile Organic Compounds (VOCs) Profile Measured in Exhaled Breath. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12147165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Lung cancer is one of the world’s lethal diseases and detecting it at an early stage is crucial and difficult. This paper proposes a computer-aided lung cancer diagnosis system using volatile organic compounds (VOCs) data. A silicon microreactor, which consists of thousands of micropillars coated with an ammonium aminooxy salt, is used to capture the volatile organic compounds (VOCs) in the patients’ exhaled breath by means of oximation reactions. The proposed system ranks the features using the Pearson correlation coefficient and maximum relevance–minimum redundancy (mRMR) techniques. The selected features are fed to nine different classifiers to determine if the lung nodule is malignant or benign. The system is validated using a locally acquired dataset that has 504 patients’ data. The dataset is balanced and has 27 features of volatile organic compounds (VOCs). Multiple experiments were completed, and the best accuracy result is 87%, which was achieved using random forest (RF) either by using all 27 features without selection or by using the first 17 features obtained using maximum relevance–minimum redundancy (mRMR) while using an 80–20 train-test split. The correlation coefficient, maximum relevance–minimum redundancy (mRMR), and random forest (RF) importance agreed that C4H8O (2-Butanone) ranks as the best feature. Using only C4H8O (2-Butanone) for training, the accuracy results using the support vector machine, logistic regression, bagging and neural network classifiers are 86%, which approaches the best result. This shows the potential for these volatile organic compounds (VOCs) to serve as a significant screening tests for the diagnosis of lung cancer.
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Lipid Peroxidation Produces a Diverse Mixture of Saturated and Unsaturated Aldehydes in Exhaled Breath That Can Serve as Biomarkers of Lung Cancer-A Review. Metabolites 2022; 12:metabo12060561. [PMID: 35736492 PMCID: PMC9229171 DOI: 10.3390/metabo12060561] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/09/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
The peroxidation of unsaturated fatty acids is a widely recognized metabolic process that creates a complex mixture of volatile organic compounds including aldehydes. Elevated levels of reactive oxygen species in cancer cells promote random lipid peroxidation, which leads to a variety of aldehydes. In the case of lung cancer, many of these volatile aldehydes are exhaled and are of interest as potential markers of the disease. Relevant studies reporting aldehydes in the exhaled breath of lung cancer patients were collected for this review by searching the PubMed and SciFindern databases until 25 May 2022. Information on breath test results, including the biomarker collection, preconcentration, and quantification methods, was extracted and tabulated. Overall, 44 studies were included spanning a period of 34 years. The data show that, as a class, aldehydes are significantly elevated in the breath of lung cancer patients at all stages of the disease relative to healthy control subjects. The type of aldehyde detected and/or deemed to be a biomarker is highly dependent on the method of exhaled breath sampling and analysis. Unsaturated aldehydes, detected primarily when derivatized during preconcentration, are underrepresented as biomarkers given that they are also likely products of lipid peroxidation. Pentanal, hexanal, and heptanal were the most reported aldehydes in studies of exhaled breath from lung cancer patients.
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Smirnova E, Mallow C, Muschelli J, Shao Y, Thiboutot J, Lam A, Rule AM, Crainiceanu C, Yarmus L. Predictive performance of selected breath volatile organic carbon compounds in stage 1 lung cancer. Transl Lung Cancer Res 2022; 11:1009-1018. [PMID: 35832450 PMCID: PMC9271440 DOI: 10.21037/tlcr-21-953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/24/2022] [Indexed: 11/16/2022]
Abstract
Background Lung cancer remains the leading cause of cancer deaths accounting for almost 25% of all cancer deaths. Breath-based volatile organic compounds (VOCs) have been studied in lung cancer but previous studies have numerous limitations. We conducted a prospective matched case to control study of the ability of preidentified VOC performance in the diagnosis of stage 1 lung cancer (S1LC). Methods Study participants were enrolled in a matched case to two controls study. A case was defined as a patient with biopsy-confirmed S1LC. Controls included a matched control, by risk factors, and a housemate control who resided in the same residence as the case. We included 88 cases, 88 risk-matched, and 49 housemate controls. Each participant exhaled into a Tedlar® bag which was analyzed using gas chromatography-mass spectrometry. For each study participant’s breath sample, the concentration of thirteen previously identified VOCs were quantified and assessed using area under the curve in the detection of lung cancer. Results Four VOCs were above the limit of detection in more than 10% of the samples. Acetoin was the only compound that was significantly associated with S1LC. Acetoin concentration below the 10th percentile (0.026 µg/L) in the training data had accuracy of 0.610 (sensitivity =0.649; specificity =0.583) in the test data. In multivariate logistic models, the best performing models included Acetoin alone (AUC =0.650). Conclusions Concentration of Acetoin in exhaled breath has low discrimination performance for S1LC cases and controls, while there was not enough evidence for twelve additional published VOCs.
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Affiliation(s)
- Ekaterina Smirnova
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
| | - Christopher Mallow
- Division of Pulmonary and Critical Care Medicine, University of Miami, Miami, FL, USA
| | - John Muschelli
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Yuan Shao
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jeffrey Thiboutot
- Section of Interventional Pulmonology, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Andres Lam
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ana M Rule
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Lonny Yarmus
- Section of Interventional Pulmonology, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
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Woollam M, Siegel A, Grocki P, Saunders JL, Sanders DB, Agarwal M, Davis MD. Preliminary method for profiling volatile organic compounds in breath that correlate with pulmonary function and other clinical traits of subjects diagnosed with cystic fibrosis: a pilot study. J Breath Res 2022; 16. [PMID: 35120338 DOI: 10.1088/1752-7163/ac522f] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/04/2022] [Indexed: 11/12/2022]
Abstract
Cystic fibrosis (CF) is characterized by chronic respiratory infections which progressively decrease lung function over time. Affected individuals experience episodes of intensified respiratory symptoms called pulmonary exacerbations (PEx) which accelerate pulmonary function decline and decrease survival. There is no standard classification for PEx, which results in treatments that are heterogeneous. Improving PEx classification and management is a significant priority for people with CF. Previous studies have shown volatile organic compounds (VOCs) in exhaled breath can be used as biomarkers because they are products of metabolic pathways dysregulated by different diseases. To provide insights on PEx classification and other clinical factors, exhaled breath was collected from subjects with CF, with some experiencing PEx and others at baseline. Exhaled breath was collected in Tedlar bags during tidal breathing for VOC analysis by solid phase microextraction coupled to gas chromatography-mass spectrometry. Statistical significance testing between quantitative and categorical clinical variables displayed percent-predicted forced expiratory volume in one second (FEV1pp) was decreased in subjects experiencing PEx. VOCs correlating with other clinical variables (body mass index, age, use of highly effective modulator therapies, and need for antibiotics) were also explored. VOCs correlating to potential confounding variables were removed and analyzed by regression for correlations with FEV1pp measurements. The VOC with the highest correlation with FEV1pp (3,7-dimethyldecane) also gave the lowest p-value when comparing subjects at baseline and during PEx. Receiver operator characteristic curves showed 3,7-dimethyldecane had a higher ability to classify PEx (area under the curve (AUC) = 0.91) relative to FEV1pp values at collection (AUC = 0.83). However, normalized ΔFEV1pp values had the highest capability to distinguish PEx (AUC = 0.93). These results show that exhaled VOCs may be a source of biomarkers for various clinical traits of CF, including PEx, that should be explored in larger sample cohorts and validation studies.
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Affiliation(s)
- Mark Woollam
- Chemistry and Chemical Biology, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Amanda Siegel
- Department of Chemistry and Chemical Biology, Indiana University Purdue University Indianapolis, 402 N Blackford St., LD326, Indianapolis, Indiana, 46202, UNITED STATES
| | - Paul Grocki
- Chemistry and Chemical Biology, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Jessica L Saunders
- Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, 705 Riley Hospital Drive, Indianapolis, Indiana, 46202, UNITED STATES
| | - Don B Sanders
- Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, 705 Riley Hospital Drive, Indianapolis, Indiana, 46202, UNITED STATES
| | - Mangilal Agarwal
- Mechanical and Energy Engineering, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Michael D Davis
- Pulmonary Medicine, Herman B Wells Center for Pediatric Research, 1044 W. Walnut St., Indianapolis, Indiana, 46202, UNITED STATES
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Kijewska M, Koch T, Waliczek M, Konieczny A, Stefanowicz P, Szewczuk Z. Selective ESI-MS detection of carbonyl containing compounds by aminooxyacetic acid immobilized on a resin. Anal Chim Acta 2021; 1176:338767. [PMID: 34399903 DOI: 10.1016/j.aca.2021.338767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/28/2021] [Accepted: 06/14/2021] [Indexed: 10/21/2022]
Abstract
There are numerous examples of bioactive compounds containing carbonyl groups including modified proteins with oxidation of side chain of amino acid residues to aldehyde/ketone groups which are frequently considered as markers of oxidative stress. The carbonyl unit can be also distinguished as a substructure in many illegal drugs including anabolic steroids as well as cations derivatives. Based on chemoselective formation of oximes by solid phase immobilized hydroxylamine derivatives we proposed the protocol for derivatization and selective detection of carbonylated compounds in human serum albumin hydrolysate as a complex peptide mixture and of testosterone in urine samples. This allowed for the removal of the matrix and the qualitative and quantitative analysis of the derivatized analyte by LC-MS/MS (or LC-MRM). Herein we report the preparation and chemical characterization of a novel, ChemMatrix - based resin functionalized with aminooxyacetic acid (AOA). The hydroxylamine moiety in this resin is combined with a peptide linker (GRG) containing an arginine residue to enhance the ionization efficiency. Application of an isotopically labeled carbonylated peptide ((H-Leu-Val-Thr(O)-Asp-Leu-Thr-Lys [13C6,15N2]-OH and testosterone-d3 allowed us to carry out quantitative analyses of detected compounds. Our method is general and may be applied for analysis of carbonylated compounds in biological samples. Our method based on application of functionalized resin allowed to quantify the level of free testosterone in small sample (0.5 mL) of urine, while the non-derivatized testosterone from urine sample was not detected during direct LC-MRM analysis.
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Affiliation(s)
- Monika Kijewska
- Faculty of Chemistry, University of Wrocław, Joliot-Curie 14, 50-383, Wrocław, Poland.
| | - Tomasz Koch
- Faculty of Chemistry, University of Wrocław, Joliot-Curie 14, 50-383, Wrocław, Poland
| | - Mateusz Waliczek
- Faculty of Chemistry, University of Wrocław, Joliot-Curie 14, 50-383, Wrocław, Poland
| | - Andrzej Konieczny
- Department of Nephrology and Transplantation Medicine, Wrocław Medical University, Borowska 213, 50-556, Wrocław, Poland
| | - Piotr Stefanowicz
- Faculty of Chemistry, University of Wrocław, Joliot-Curie 14, 50-383, Wrocław, Poland
| | - Zbigniew Szewczuk
- Faculty of Chemistry, University of Wrocław, Joliot-Curie 14, 50-383, Wrocław, Poland
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12
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Peled N, Fuchs V, Kestenbaum EH, Oscar E, Bitran R. An Update on the Use of Exhaled Breath Analysis for the Early Detection of Lung Cancer. LUNG CANCER-TARGETS AND THERAPY 2021; 12:81-92. [PMID: 34429674 PMCID: PMC8378913 DOI: 10.2147/lctt.s320493] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/17/2021] [Indexed: 12/18/2022]
Abstract
Lung cancer has historically been the main responsible for cancer associated deaths. Owing to this is our current inability to screen for and diagnose early pathological findings, preventing us from a timely intervention when cure is still achievable. Over the last decade, together with the extraordinary progress in therapeutical alternatives in the field, there has been an ongoing search for a biomarker that would allow for this. Numerous technologies have been developed but their clinical application is yet to come. In this review, we provide an update on volatile organic compounds, a non-invasive method that can hold the key for detecting early metabolic pathway changes in carcinogenesis. For its compilation, web-based search engines of scientific literature such as PubMed were explored and reviewed, using articles, research, and papers deemed meaningful by authors discretion. After a brief description, we depict how this technique can complement current methods and present the value of electronic noses in the identification of the “breathprint”. Lastly, we bring some of the latest updates in the field together with the current limitations and final remarks.
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Affiliation(s)
- Nir Peled
- Shaare Zedek Medical Center, The Hebrew University, Jerusalem, Israel
| | - Vered Fuchs
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Emily H Kestenbaum
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Elron Oscar
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Raul Bitran
- The Legacy Heritage Oncology Center & Dr. Larry Norton Institute, Soroka Medical Center, Beer-Sheva, Israel
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13
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Pulido H, Stanczyk NM, De Moraes CM, Mescher MC. A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms. Sci Rep 2021; 11:13928. [PMID: 34230505 PMCID: PMC8260776 DOI: 10.1038/s41598-021-92962-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 05/06/2021] [Indexed: 01/18/2023] Open
Abstract
Recent findings suggest that changes in human odors caused by malaria infection have significant potential as diagnostic biomarkers. However, uncertainty remains regarding the specificity of such biomarkers, particularly in populations where many different pathological conditions may elicit similar symptoms. We explored the ability of volatile biomarkers to predict malaria infection status in Kenyan schoolchildren exhibiting a range of malaria-like symptoms. Using genetic algorithm models to explore data from skin volatile collections, we were able to identify malaria infection with 100% accuracy among children with fever and 75% accuracy among children with other symptoms. While we observed characteristic changes in volatile patterns driven by symptomatology, our models also identified malaria-specific biomarkers with robust predictive capability even in the presence of other pathogens that elicit similar symptoms.
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Affiliation(s)
- Hannier Pulido
- Department of Environmental Systems Science, ETH Zürich, 8092, Zürich, Switzerland
| | - Nina M Stanczyk
- Department of Environmental Systems Science, ETH Zürich, 8092, Zürich, Switzerland
| | - Consuelo M De Moraes
- Department of Environmental Systems Science, ETH Zürich, 8092, Zürich, Switzerland
| | - Mark C Mescher
- Department of Environmental Systems Science, ETH Zürich, 8092, Zürich, Switzerland.
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14
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Drabińska N, Flynn C, Ratcliffe N, Belluomo I, Myridakis A, Gould O, Fois M, Smart A, Devine T, Costello BDL. A literature survey of all volatiles from healthy human breath and bodily fluids: the human volatilome. J Breath Res 2021; 15. [PMID: 33761469 DOI: 10.1088/1752-7163/abf1d0] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/24/2021] [Indexed: 02/06/2023]
Abstract
This paper comprises an updated version of the 2014 review which reported 1846 volatile organic compounds (VOCs) identified from healthy humans. In total over 900 additional VOCs have been reported since the 2014 review and the VOCs from semen have been added. The numbers of VOCs found in breath and the other bodily fluids are: blood 379, breath 1488, faeces 443, milk 290, saliva 549, semen 196, skin 623 and urine 444. Compounds were assigned CAS registry numbers and named according to a common convention where possible. The compounds have been included in a single table with the source reference(s) for each VOC, an update on our 2014 paper. VOCs have also been grouped into tables according to their chemical class or functionality to permit easy comparison. Careful use of the database is needed, as a number of the identified VOCs only have level 2-putative assignment, and only a small fraction of the reported VOCs have been validated by standards. Some clear differences are observed, for instance, a lack of esters in urine with a high number in faeces and breath. However, the lack of compounds from matrices such a semen and milk compared to breath for example could be due to the techniques used or reflect the intensity of effort e.g. there are few publications on VOCs from milk and semen compared to a large number for breath. The large number of volatiles reported from skin is partly due to the methodologies used, e.g. by collecting skin sebum (with dissolved VOCs and semi VOCs) onto glass beads or cotton pads and then heating to a high temperature to desorb VOCs. All compounds have been included as reported (unless there was a clear discrepancy between name and chemical structure), but there may be some mistaken assignations arising from the original publications, particularly for isomers. It is the authors' intention that this work will not only be a useful database of VOCs listed in the literature but will stimulate further study of VOCs from healthy individuals; for example more work is required to confirm the identification of these VOCs adhering to the principles outlined in the metabolomics standards initiative. Establishing a list of volatiles emanating from healthy individuals and increased understanding of VOC metabolic pathways is an important step for differentiating between diseases using VOCs.
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Affiliation(s)
- Natalia Drabińska
- Division of Food Sciences, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences, Tuwima 10, 10-747 Olsztyn, Poland
| | - Cheryl Flynn
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Norman Ratcliffe
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, St. Mary's Campus, QEQM Building, London W2 1NY, United Kingdom
| | - Antonis Myridakis
- Department of Surgery and Cancer, Imperial College London, St. Mary's Campus, QEQM Building, London W2 1NY, United Kingdom
| | - Oliver Gould
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Matteo Fois
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Amy Smart
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Terry Devine
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Ben De Lacy Costello
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
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15
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Khoubnasabjafari M, Mogaddam MRA, Rahimpour E, Soleymani J, Saei AA, Jouyban A. Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications. Crit Rev Anal Chem 2021; 52:1461-1487. [PMID: 33691552 DOI: 10.1080/10408347.2021.1889961] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.
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Affiliation(s)
- Maryam Khoubnasabjafari
- Tuberculosis and Lung Diseases Research Center and Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.,Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohamad Reza Afshar Mogaddam
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elaheh Rahimpour
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jafar Soleymani
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Liver and Gastrointestinal Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Ata Saei
- Department of Medical Biochemistry and Biophysics, Division of Physiological Chemistry I, Karolinska Institutet, Stockholm, Sweden
| | - Abolghasem Jouyban
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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16
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A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer. Sci Rep 2021; 11:4597. [PMID: 33633213 PMCID: PMC7907202 DOI: 10.1038/s41598-021-83907-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/09/2021] [Indexed: 12/17/2022] Open
Abstract
This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis of lung cancer that integrates imaging data from a single computed tomography scan and breath bio-markers obtained from a single exhaled breath to quickly and accurately classify lung nodules. CT imaging and breath volatile organic compounds data were collected from 47 patients. Spherical Harmonics-based shape features to quantify the shape complexity of the pulmonary nodules, 7th-Order Markov Gibbs Random Field based appearance model to describe the spatial non-homogeneities in the pulmonary nodule, and volumetric features (size) of pulmonary nodules were calculated from CT images. 27 VOCs in exhaled breath were captured by a micro-reactor approach and quantied using mass spectrometry. CT and breath markers were input into a deep-learning autoencoder classifier with a leave-one-subject-out cross validation for nodule classification. To mitigate the limitation of a small sample size and validate the methodology for individual markers, retrospective CT scans from 467 patients with 727 pulmonary nodules, and breath samples from 504 patients were analyzed. The CAD system achieved 97.8% accuracy, 97.3% sensitivity, 100% specificity, and 99.1% area under curve in classifying pulmonary nodules.
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17
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Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD. J Clin Med 2020; 10:jcm10010032. [PMID: 33374433 PMCID: PMC7796324 DOI: 10.3390/jcm10010032] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022] Open
Abstract
Lung cancer, chronic obstructive pulmonary disease (COPD) and asthma are inflammatory diseases that have risen worldwide, posing a major public health issue, encompassing not only physical and psychological morbidity and mortality, but also incurring significant societal costs. The leading cause of death worldwide by cancer is that of the lung, which, in large part, is a result of the disease often not being detected until a late stage. Although COPD and asthma are conditions with considerably lower mortality, they are extremely distressful to people and involve high healthcare overheads. Moreover, for these diseases, diagnostic methods are not only costly but are also invasive, thereby adding to people’s stress. It has been appreciated for many decades that the analysis of trace volatile organic compounds (VOCs) in exhaled breath could potentially provide cheaper, rapid, and non-invasive screening procedures to diagnose and monitor the above diseases of the lung. However, after decades of research associated with breath biomarker discovery, no breath VOC tests are clinically available. Reasons for this include the little consensus as to which breath volatiles (or pattern of volatiles) can be used to discriminate people with lung diseases, and our limited understanding of the biological origin of the identified VOCs. Lung disease diagnosis using breath VOCs is challenging. Nevertheless, the numerous studies of breath volatiles and lung disease provide guidance as to what volatiles need further investigation for use in differential diagnosis, highlight the urgent need for non-invasive clinical breath tests, illustrate the way forward for future studies, and provide significant guidance to achieve the goal of developing non-invasive diagnostic tests for lung disease. This review provides an overview of these issues from evaluating key studies that have been undertaken in the years 2010–2019, in order to present objective and comprehensive updated information that presents the progress that has been made in this field. The potential of this approach is highlighted, while strengths, weaknesses, opportunities, and threats are discussed. This review will be of interest to chemists, biologists, medical doctors and researchers involved in the development of analytical instruments for breath diagnosis.
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18
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Commonly Applied Selection Criteria for Lung Cancer Screening May Have Strongly Varying Diagnostic Performance in Different Countries. Cancers (Basel) 2020; 12:cancers12103012. [PMID: 33081402 PMCID: PMC7602978 DOI: 10.3390/cancers12103012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/05/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Smoking causes the majority of lung cancers. Smoking history is thus used to select individuals among whom screening for lung cancer could be the most beneficial. The aim of our study was to estimate sensitivity and specificity of pre-selection by heavy smoking in individual European countries. Due to differences in smoking histories across the countries and sexes within the countries, the sensitivities were found to be between 33 and 80% for men and between 9 and 79% for women. Corresponding specificities of heavy smoking varied between 48 and 90% (men) and 70 and 99% (women). Our results may inform the design of lung cancer screening programs in European countries and serve as benchmarks for novel alternative or complementary tests for selecting people at high risk for computed tomography-based lung cancer screening. Abstract Lung cancer (LC) screening often focuses heavy smokers as a target for screening group. Heavy smoking can thus be regarded as an LC pre-screening test with sensitivities and specificities being different in various populations due to the differences in smoking histories. We derive here expected sensitivities and specificities of various criteria to preselect individuals for LC screening in 27 European countries with diverse smoking prevalences. Sensitivities of various heavy-smoking-based pre-screening criteria were estimated by combining sex-specific proportions of people meeting these criteria in the target population for screening with associations of heavy smoking with LC risk. Expected specificities were approximated by the proportion of individuals not meeting the heavy smoking definition. Estimated sensitivities and specificities varied widely across countries, with sensitivities being generally higher among men (range: 33–80%) than among women (range: 9–79%), and specificities being generally lower among men (range: 48–90%) than among women (range: 70–99%). Major variation in sensitivities and specificities was also seen across different pre-selection criteria for LC screening within individual countries. Our results may inform the design of LC screening programs in European countries and serve as benchmarks for novel alternative or complementary tests for selecting people at high risk for CT-based LC screening.
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19
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Díaz de León-Martínez L, Rodríguez-Aguilar M, Gorocica-Rosete P, Domínguez-Reyes CA, Martínez-Bustos V, Tenorio-Torres JA, Ornelas-Rebolledo O, Cruz-Ramos JA, Balderas-Segura B, Flores-Ramírez R. Identification of profiles of volatile organic compounds in exhaled breath by means of an electronic nose as a proposal for a screening method for breast cancer: a case-control study. J Breath Res 2020; 14:046009. [PMID: 32698165 DOI: 10.1088/1752-7163/aba83f] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The objective of the present study was to identify volatile prints from exhaled breath, termed breath-print, from breast cancer (BC) patients and healthy women by means of an electronic nose and to evaluate its potential use as a screening method. A cross-sectional study was performed on 443 exhaled breath samples from women, of whom 262 had been diagnosed with BC by biopsy and 181 were healthy women (control group). Breath-print analysis was performed utilizing the Cyranose 320 electronic nose. Group data were evaluated by principal component analysis (PCA), canonical discriminant analysis (CDA), and support vector machine (SVM), and the test's diagnostic power was evaluated by means of receiver operating characteristic (ROC) curves. The results obtained using the model generated from the CDA, which best describes the behavior of the assessed groups, indicated that the breath-print of BC patients was different from that of healthy women and that they presented with a variability of up to 98.8% and a correct classification of 98%. The sensitivity, specificity, negative predictive value, and positive predictive value reached 100% according to the ROC curve. The present study demonstrates the capability of the electronic nose to separate between healthy subjects and BC patients. This research could have a beneficial impact on clinical practice as we consider that this test could probably be used at the first point before the application of established gold tests (mammography, ultrasound, and biopsy) and substantially improve screening tests in the general population.
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Affiliation(s)
- Lorena Díaz de León-Martínez
- Center for Applied Research in Environment and Health, CIACYT, Medicine Faculty, Autonomous University of San Luis Potosí, Av. Venustiano Carranza 2405, CP 78210, San Luis Potosí, SLP, Mexico
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20
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Ogunwale MA, Knipp RJ, Evrard CN, Thompson LM, Nantz MH, Fu XA. The Influence of β-Ammonium Substitution on the Reaction Kinetics of Aminooxy Condensations with Aldehydes and Ketones. Chemphyschem 2019; 20:815-822. [PMID: 30725495 DOI: 10.1002/cphc.201801143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 02/05/2019] [Indexed: 11/06/2022]
Abstract
The click-chemistry capture of volatile aldehydes and ketones by ammonium aminooxy compounds has proven to be an efficient means of analyzing the carbonyl subset in complex mixtures, such as exhaled breath or environmental air. In this work, we examine the carbonyl condensation reaction kinetics of three aminooxy compounds with varying β-ammonium ion substitution using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). We determined the activation energies for the reactions of the aminooxy compounds ATM, ADMH and AMAH with a panel of ketones and aldehydes that included acrolein and crotonaldehyde. The measurements indicate that the activation energies for the oximation reactions are quite low, less than 75 kJ mol-1 . ADMH is observed to react the fastest with the carbonyls studied. We postulate this result may be attributed to the ADMH ammonium proton effecting a Brønsted-Lowry acid-catalyzed elimination of water during the rate-determining step of oxime ether formation. A theoretical study of oxime ether formation is presented to explain the enhanced reactivity of ADMH relative to the tetraalkylammonium analog ATM.
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Affiliation(s)
- Mumiye A Ogunwale
- Department of Chemistry, University of Louisville, Louisville, KY 40208, USA
| | - Ralph J Knipp
- Department of Chemistry, University of Louisville, Louisville, KY 40208, USA
| | - Clint N Evrard
- Department of Chemistry, University of Louisville, Louisville, KY 40208, USA
| | - Lee M Thompson
- Department of Chemistry, University of Louisville, Louisville, KY 40208, USA
| | - Michael H Nantz
- Department of Chemistry, University of Louisville, Louisville, KY 40208, USA
| | - Xiao-An Fu
- Department of Chemical Engineering, University of Louisville, Louisville, KY 40208, USA
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21
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Hanna GB, Boshier PR, Markar SR, Romano A. Accuracy and Methodologic Challenges of Volatile Organic Compound-Based Exhaled Breath Tests for Cancer Diagnosis: A Systematic Review and Meta-analysis. JAMA Oncol 2019; 5:e182815. [PMID: 30128487 PMCID: PMC6439770 DOI: 10.1001/jamaoncol.2018.2815] [Citation(s) in RCA: 122] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/08/2018] [Indexed: 12/19/2022]
Abstract
Importance The detection and quantification of volatile organic compounds (VOCs) within exhaled breath have evolved gradually for the diagnosis of cancer. The overall diagnostic accuracy of proposed tests remains unknown. Objectives To determine the diagnostic accuracy of VOC breath tests for the detection of cancer and to review sources of methodologic variability. Data Sources An electronic search (title and abstract) was performed using the Embase and MEDLINE databases (January 1, 2000, to May 28, 2017) through the OVID platform. The search terms cancer, neoplasm, malignancy, volatile organic compound, VOC, breath, and exhaled were used in combination with the Boolean operators AND and OR. A separate MEDLINE search that used the search terms breath AND methodology was also performed for studies that reported factors that influenced the concentration of VOCs within exhaled breath in humans. Study Selection The search was limited to human studies published in the English language. Trials that analyzed named endogenous VOCs within exhaled breath to diagnose or assess cancer were included in this review. Data Extraction and Synthesis Systematic review and pooled analysis were conducted in accordance with the recommendations of the Cochrane Library and Meta-analysis of Observational Studies in Epidemiology guidelines. Bivariate meta-analyses were performed to generate pooled point estimates of the hierarchal summary receiver operating characteristic curve of breath VOC analysis. Included studies were assessed according to the Standards for Reporting of Diagnostic Accuracy Studies checklist and Quality Assessment of Diagnostic Accuracy Studies 2 tool. Main Outcomes and Measures The principal outcome measure was pooled diagnostic accuracy of published VOC breath tests for cancer. Results The review identified 63 relevant publications and 3554 patients. All reports constituted phase 1 biomarker studies. Pooled analysis of findings found a mean (SE) area under the receiver operating characteristic analysis curve of 0.94 (0.01), sensitivity of 79% (95% CI, 77%-81%), and specificity of 89% (95% CI, 88%-90%). Factors that may influence variability in test results included breath collection method, patient physiologic condition, test environment, and method of analysis. Conclusions and Relevance The findings of our review suggest that standardization of breath collection methods and masked validation of breath test accuracy for cancer diagnosis is needed among the intended population in multicenter clinical trials. We propose a framework to guide the conduct of future breath tests in cancer studies.
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Affiliation(s)
- George B. Hanna
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Piers R. Boshier
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Sheraz R. Markar
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Andrea Romano
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
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22
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Kort S, Tiggeloven MM, Brusse-Keizer M, Gerritsen JW, Schouwink JH, Citgez E, de Jongh FHC, Samii S, van der Maten J, van den Bogart M, van der Palen J. Multi-centre prospective study on diagnosing subtypes of lung cancer by exhaled-breath analysis. Lung Cancer 2018; 125:223-229. [PMID: 30429025 DOI: 10.1016/j.lungcan.2018.09.022] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/09/2018] [Accepted: 09/27/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Lung cancer is a leading cause of mortality. Exhaled-breath analysis of volatile organic compounds (VOC's) might detect lung cancer early in the course of the disease, which may improve outcomes. Subtyping lung cancers could be helpful in further clinical decisions. MATERIALS AND METHODS In a prospective, multi-centre study, using 10 electronic nose devices, 144 subjects diagnosed with NSCLC and 146 healthy subjects, including subjects considered negative for NSCLC after investigation, breathed into the Aeonose™ (The eNose Company, Zutphen, Netherlands). Also, analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC), and analyses of patients with small cell lung cancer (SCLC) were performed. RESULTS Choosing a cut-off point to predominantly rule out cancer resulted for NSCLC in a sensitivity of 94.4%, a specificity of 32.9%, a positive predictive value of 58.1%, a negative predictive value (NPV) of 85.7%, and an area under the curve (AUC) of 0.76. For AC sensitivity, PPV, NPV, and AUC were 81.5%, 56.4%, 79.5%, and 0.74, respectively, while for SCC these numbers were 80.8%, 45.7%, 93.0%, and 0.77, respectively. SCLC could be ruled out with a sensitivity of 88.9% and an NPV of 96.8% with an AUC of 0.86. CONCLUSION Electronic nose technology with the Aeonose™ can play an important role in rapidly excluding lung cancer due to the high negative predictive value for various, but not all types of lung cancer. Patients showing positive breath tests should still be subjected to further diagnostic testing.
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Affiliation(s)
- S Kort
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands.
| | - M M Tiggeloven
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - M Brusse-Keizer
- Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands
| | | | - J H Schouwink
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - E Citgez
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - F H C de Jongh
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - S Samii
- Department of Pulmonary Medicine, Deventer Ziekenhuis, Deventer, the Netherlands
| | - J van der Maten
- Department of Pulmonary Medicine, Medisch Centrum Leeuwarden, Leeuwarden, the Netherlands
| | - M van den Bogart
- Department of Pulmonary Medicine, Bernhoven Uden, Uden, the Netherlands
| | - J van der Palen
- Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands; Department of Research Methodology, Measurement, and Data Analysis, University of Twente, Enschede, the Netherlands
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23
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Oakley-Girvan I, Davis SW. Breath based volatile organic compounds in the detection of breast, lung, and colorectal cancers: A systematic review. Cancer Biomark 2018; 21:29-39. [PMID: 29060925 DOI: 10.3233/cbm-170177] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Detecting volatile organic compounds (VOCs) could provide a rapid, noninvasive, and inexpensive screening tool for detecting cancer. OBJECTIVE In this systematic review, we identified specific exhaled breath VOCs correlated with lung, colorectal, and breast cancer. METHODS We identified relevant studies published in 2015 and 2016 by searching Pubmed and Web of Science. The protocol for this systematic review was registered in PROSPERO and the PRISMA guidelines were used in reporting. VOCs and performance data were extracted. RESULTS Three hundred and thirty three records were identified and 43 papers were included in the review, of which 20 were review articles themselves. We identified 17 studies that listed the VOCs with at least a subset of statistics on detection cutoff levels, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and gradient. CONCLUSIONS Breath analysis for cancer screening and early detection shows promise, because samples can be collected easily, safely, and frequently. While gas chromatography-mass spectrometry is considered the gold standard for identifying specific VOCs, breath analysis has moved into analyzing patterns of VOCs using a variety of different multiple sensor techniques, such as eNoses and nanomaterials. Further development of VOCs for early cancer detection requires clinical trials with standardized breath sampling methods.
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Abstract
The electronic nose (e-nose) is a promising technology as a useful addition to the currently available modalities to achieve lung cancer diagnosis. The e-nose can assess the volatile organic compounds detected in the breath and derived from the cellular metabolism. Volatile organic compounds can be analyzed to identify the individual chemical elements as well as their pattern of expression to reproduce a sensorial combination similar to a fingerprint (breathprint). The e-nose can be used alone, mimicking the combinatorial selectivity of the human olfactory system, or as part of a multisensorial platform. This review analyzes the progress made by investigators interested in this technology as well as the perspectives for its future utilization.
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Every breath you take: The value of the electronic nose (e-nose) technology in the early detection of lung cancer. J Thorac Cardiovasc Surg 2018; 155:2622-2625. [PMID: 29602425 DOI: 10.1016/j.jtcvs.2017.12.155] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 11/27/2017] [Accepted: 12/09/2017] [Indexed: 02/06/2023]
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Jiménez-Pacheco A, Salinero-Bachiller M, Iribar MC, López-Luque A, Miján-Ortiz JL, Peinado JM. Furan and p-xylene as candidate biomarkers for prostate cancer. Urol Oncol 2018; 36:243.e21-243.e27. [PMID: 29395956 DOI: 10.1016/j.urolonc.2017.12.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/15/2017] [Accepted: 12/26/2017] [Indexed: 01/07/2023]
Abstract
BACKGROUND Prostate cancer (PCa) is the most frequently diagnosed noncutaneous malignant tumor among males in the Western world. Prostate-specific antigen has been considered the most important biomarker for PCa detection; however, it lacks specificity, leading to the search for alternative biomarkers. Volatile organic compounds (VOCs) are released during cell metabolism and can be found in exhaled breath, urine, and other fluids. VOCs have been used in the diagnosis of lung, breast, ovarian, and colorectal cancers, among others. The objective of this study was to identify urinary VOCs that may be sensitive and specific biomarkers for PCa. METHODS The study included 29 patients with PCa and 21 with benign prostatic hyperplasia. Urine samples were obtained from all participants before and after prostate massage. VOCs were identified by gas chromatography-mass spectrometry. IBM SPSS Statistics v.20 was used for statistical analysis. Sample normality and homogeneity of variances were studied and, according to the distribution normality, ANOVA or the Kruskal-Wallis test was applied to evaluate significant differences between groups. The Pearson test was used to establish correlations. RESULTS Fifty-seven VOCs were identified. Samples gathered before prostate massage showed significant between-group differences in urinary levels of furan (P≤ 0.001), 2-ethylhexanol (P = 0.032), 3,5-dimethylbenzaldehyde (P = 0.027), santolin triene (P = 0.032), and 2,6-dimethyl-7-octen-2-ol (P = 0.003). Samples gathered after prostate massage showed significant differences in urinary levels of furan (P≤ 0.001), 3- methylphenol (P = 0.014), p-xylene (P = 0.002), phenol (P≤ 0.001), and 2-butanone (P = 0.001). CONCLUSIONS Significant differences between PCa and BPH patients were found in urinary levels of certain VOCs both before and after prostate massage, supporting the proposal that VOCs may serve as PCa-specific biomarkers.
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Affiliation(s)
| | - María Salinero-Bachiller
- Department of de Biochemistry and Mol. Biol. III and Immunology, University of Granada, Granada, Spain
| | - María C Iribar
- Department of de Biochemistry and Mol. Biol. III and Immunology, University of Granada, Granada, Spain
| | | | - José L Miján-Ortiz
- Department of Urology, Santa Ana Hospital (AGS Granada South), Motril, Granada, Spain
| | - Jose M Peinado
- Department of de Biochemistry and Mol. Biol. III and Immunology, University of Granada, Granada, Spain.
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Bianchi F, Riboni N, Carbognani P, Gnetti L, Dalcanale E, Ampollini L, Careri M. Solid-phase microextraction coupled to gas chromatography–mass spectrometry followed by multivariate data analysis for the identification of volatile organic compounds as possible biomarkers in lung cancer tissues. J Pharm Biomed Anal 2017; 146:329-333. [PMID: 28915496 DOI: 10.1016/j.jpba.2017.08.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 08/24/2017] [Accepted: 08/26/2017] [Indexed: 01/13/2023]
Affiliation(s)
- Federica Bianchi
- Dipartimento di Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
| | - Nicolò Riboni
- Dipartimento di Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy
| | - Paolo Carbognani
- Dipartimento di Medicina e Chirurgia, Via Gramsci 14, Università di Parma, 43121 Parma, Italy
| | - Letizia Gnetti
- Dipartimento di Medicina e Chirurgia, Via Gramsci 14, Università di Parma, 43121 Parma, Italy
| | - Enrico Dalcanale
- Dipartimento di Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy
| | - Luca Ampollini
- Dipartimento di Medicina e Chirurgia, Via Gramsci 14, Università di Parma, 43121 Parma, Italy
| | - Maria Careri
- Dipartimento di Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy
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Lagniau S, Lamote K, van Meerbeeck JP, Vermaelen KY. Biomarkers for early diagnosis of malignant mesothelioma: Do we need another moonshot? Oncotarget 2017; 8:53751-53762. [PMID: 28881848 PMCID: PMC5581147 DOI: 10.18632/oncotarget.17910] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 05/01/2017] [Indexed: 12/23/2022] Open
Abstract
Early diagnosis of malignant pleural mesothelioma (MPM) is a challenge for clinicians. The disease is usually detected in an advanced stage which precludes curative treatment. We assume that only new and non-invasive biomarkers allowing earlier detection will result in better patient management and outcome. Many efforts have already been made to find suitable biomarkers in blood and pleural effusions, but have not yet resulted in a valid and reproducible diagnostic one. In this review, we will highlight the strengths and shortcomings of blood and fluid based biomarkers and highlight the potential of breath analysis as a non-invasive screening tool for MPM. This method seems very promising in the early detection of diverse malignancies, because exhaled breath contains valuable information on cell and tissue metabolism. Research that focuses on breath biomarkers in MPM is in its early days, but the few studies that have been performed show promising results. We believe a breathomics-based biomarker approach should be further explored to improve the follow-up and management of asbestos exposed individuals.
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Affiliation(s)
- Sabrina Lagniau
- Tumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium
- Department of Internal Medicine, Ghent University, 9000 Ghent, Belgium
| | - Kevin Lamote
- Tumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium
- Department of Internal Medicine, Ghent University, 9000 Ghent, Belgium
| | - Jan P. van Meerbeeck
- Department of Internal Medicine, Ghent University, 9000 Ghent, Belgium
- Thoracic Oncology/MOCA, Antwerp University Hospital, 2650 Edegem, Belgium
| | - Karim Y. Vermaelen
- Tumor Immunology Laboratory, Department of Respiratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium
- Department of Internal Medicine, Ghent University, 9000 Ghent, Belgium
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Shlomi D, Abud M, Liran O, Bar J, Gai-Mor N, Ilouze M, Onn A, Ben-Nun A, Haick H, Peled N. Detection of Lung Cancer and EGFR Mutation by Electronic Nose System. J Thorac Oncol 2017; 12:1544-1551. [PMID: 28709937 DOI: 10.1016/j.jtho.2017.06.073] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 06/17/2017] [Accepted: 06/26/2017] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Early detection of lung cancer (LC) has been well established as a significant key point in patient survival and prognosis. New highly sensitive nanoarray sensors for exhaled volatile organic compounds that have been developed and coupled with powerful statistical programs may be used when diseases such as LC are suspected. Detection of genetic aberration mutation by nanoarray sensors is the next target. METHODS Breath samples were taken from patients who were evaluated for suspicious pulmonary lesions. Patients were classified as those with benign nodules, as patients with LC with or without the EGFR mutation, and according to their smoking status. Breath prints were recognized by nanomaterial-based sensor array, and pattern recognition methods were used. RESULTS A total of 119 patients participated in this study, 30 patients with benign nodules and 89 patients with LC (16 with early disease and 73 with advanced disease). Patients with LC who harbored the EGFR mutation (n = 19) could be discriminated from those with wild-type EGFR (n = 34) with an accuracy of 83%, sensitivity of 79%, and specificity of 85%. Discrimination of early LC from benign nodules had 87% accuracy and positive and negative predictive values of 87.7 and 87.5% respectively. Moderate discrimination (accuracy of 76%) was found between LC of heavy smokers and that of never-smokers or distant past light smokers. CONCLUSIONS Breath analysis could discriminate patients with LC who harbor the EGFR mutation from those with wild-type EGFR and those with benign pulmonary nodules from those patients with early LC. A positive breath print for the EGFR mutation may be used in treatment decisions if tissue sampling does not provide adequate material for definitive mutation analysis.
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Affiliation(s)
- Dekel Shlomi
- Pulmonary Clinic, Dan Petah-Tikva District, Clalit Health Services, Petah Tikva, Israel
| | - Manal Abud
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Ori Liran
- Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Jair Bar
- Thoracic Oncology Unit, Institute of Oncology, Sheba Medical Center, Tel Hashomer, Israel
| | - Naomi Gai-Mor
- Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Maya Ilouze
- Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Amir Onn
- Thoracic Oncology Unit, Institute of Oncology, Sheba Medical Center, Tel Hashomer, Israel
| | - Alon Ben-Nun
- Department of General Thoracic Surgery, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Nir Peled
- Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel Hashomer, Israel; Thoracic Cancer Unit, Davidoff Cancer Center, Rabin Medical Center, Petah-Tikva, Israel.
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Measurement and Clinical Significance of Biomarkers of Oxidative Stress in Humans. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2017; 2017:6501046. [PMID: 28698768 PMCID: PMC5494111 DOI: 10.1155/2017/6501046] [Citation(s) in RCA: 414] [Impact Index Per Article: 59.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 04/26/2017] [Accepted: 05/21/2017] [Indexed: 12/11/2022]
Abstract
Oxidative stress is the result of the imbalance between reactive oxygen species (ROS) formation and enzymatic and nonenzymatic antioxidants. Biomarkers of oxidative stress are relevant in the evaluation of the disease status and of the health-enhancing effects of antioxidants. We aim to discuss the major methodological bias of methods used for the evaluation of oxidative stress in humans. There is a lack of consensus concerning the validation, standardization, and reproducibility of methods for the measurement of the following: (1) ROS in leukocytes and platelets by flow cytometry, (2) markers based on ROS-induced modifications of lipids, DNA, and proteins, (3) enzymatic players of redox status, and (4) total antioxidant capacity of human body fluids. It has been suggested that the bias of each method could be overcome by using indexes of oxidative stress that include more than one marker. However, the choice of the markers considered in the global index should be dictated by the aim of the study and its design, as well as by the clinical relevance in the selected subjects. In conclusion, the clinical significance of biomarkers of oxidative stress in humans must come from a critical analysis of the markers that should give an overall index of redox status in particular conditions.
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Phillips M, Cataneo RN, Lebauer C, Mundada M, Saunders C. Breath mass ion biomarkers of breast cancer. J Breath Res 2017; 11:016004. [DOI: 10.1088/1752-7163/aa549b] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Schumer EM, Black MC, Bousamra M, Trivedi JR, Li M, Fu XA, van Berkel V. Normalization of Exhaled Carbonyl Compounds After Lung Cancer Resection. Ann Thorac Surg 2016; 102:1095-100. [PMID: 27293148 PMCID: PMC5042568 DOI: 10.1016/j.athoracsur.2016.04.068] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 04/15/2016] [Accepted: 04/20/2016] [Indexed: 12/20/2022]
Abstract
Background Quantitative analysis of specific exhaled carbonyl compounds (ECCs) has shown promise for the detection of lung cancer. The purpose of this study is to demonstrate the normalization of ECCs in patients after lung cancer resection. Methods Patients from a single center gave consent and were enrolled in the study from 2011 onward. Breath analysis was performed on lung cancer patients before and after surgical resection of their tumors. One liter of breath from a single exhalation was collected and evacuated over a silicon microchip. Carbonyls were captured by oximation reaction and analyzed by mass spectrometry. Concentrations of four cancer-specific ECCs were measured and compared by using the Wilcoxon test. A given cancer marker was considered elevated at 1.5 or more standard deviations greater than the mean of the control population. Results There were 34 cancer patients with paired samples and 187 control subjects. The median values after resection were significantly lower for all four ECCs and were equivalent to the control patient values for three of the four ECCs. Conclusions The analysis of ECCs demonstrates reduction to the level of control patients after surgical resection for lung cancer. This technology has the potential to be a useful tool to detect disease after lung cancer resection. Continued follow-up will determine whether subsequent elevation of ECCs is indicative of recurrent disease.
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Affiliation(s)
- Erin M Schumer
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, Kentucky
| | - Matthew C Black
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, Kentucky
| | - Michael Bousamra
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, Kentucky
| | - Jaimin R Trivedi
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, Kentucky
| | - Mingxiao Li
- Department of Chemical Engineering, University of Louisville, Louisville, Kentucky
| | - Xiao-An Fu
- Department of Chemical Engineering, University of Louisville, Louisville, Kentucky
| | - Victor van Berkel
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, Kentucky.
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Murthy SC. Lung cancer screening: Dollars and scents. J Thorac Cardiovasc Surg 2015; 150:1525. [PMID: 26573351 DOI: 10.1016/j.jtcvs.2015.09.093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 09/23/2015] [Indexed: 11/15/2022]
Affiliation(s)
- Sudish C Murthy
- Department of Thoracic and Cardiovascular Surgery, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio.
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34
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Ferraris VA. What do dogs, ancient Romans, Linus Pauling, and mass spectrometry have in common? Early lung cancer and exhaled breath. J Thorac Cardiovasc Surg 2015; 151:313-4. [PMID: 26505807 DOI: 10.1016/j.jtcvs.2015.09.120] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 09/29/2015] [Indexed: 01/19/2023]
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